Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/352441
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2021-12-22T10:52:46Z-
dc.date.available2021-12-22T10:52:46Z-
dc.identifier.urihttp://hdl.handle.net/10603/352441-
dc.description.abstractnewline
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleMachine learning approaches for quality evaluation of mangoes
dc.title.alternative
dc.creator.researcherAnitha Raghavendra
dc.subject.keywordAndroid Application
dc.subject.keywordDataset Creation
dc.subject.keywordElectronics
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Electrical and Electronic
dc.subject.keywordMango Classification System
dc.subject.keywordMango Dataset Creation
dc.subject.keywordMango Grading
dc.subject.keywordMango Internal Defect Detection
dc.description.note
dc.contributor.guideRao, Mahesh
dc.publisher.placeMysore
dc.publisher.universityUniversity of Mysore
dc.publisher.institutionDepartment of Electronics
dc.date.registered
dc.date.completed2021
dc.date.awarded
dc.format.dimensions
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Electronics

Files in This Item:
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01_title.pdfAttached File2.7 kBAdobe PDFView/Open
02_declaration.pdf3.05 kBAdobe PDFView/Open
03_certificate.pdf144.07 kBAdobe PDFView/Open
04_acknowledgement.pdf7.83 kBAdobe PDFView/Open
05_content.pdf230.99 kBAdobe PDFView/Open
06_list of figures.pdf170.25 kBAdobe PDFView/Open
07_list of tables.pdf82.82 kBAdobe PDFView/Open
08_list of abbreviations.pdf157.16 kBAdobe PDFView/Open
09_abstract.pdf86.06 kBAdobe PDFView/Open
10_chapter 1.pdf389.84 kBAdobe PDFView/Open
11_chapter 2.pdf294.22 kBAdobe PDFView/Open
12_chapter 3.pdf770.77 kBAdobe PDFView/Open
13_chapter 4.pdf1.03 MBAdobe PDFView/Open
14_chapter 5.pdf970.32 kBAdobe PDFView/Open
15_chapter 6.pdf257.04 kBAdobe PDFView/Open
16_biblioraphy.pdf388.59 kBAdobe PDFView/Open
17_publications.pdf160.84 kBAdobe PDFView/Open
80_recommendation.pdf263.14 kBAdobe PDFView/Open


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